Prediction Of Energy Consumption And Optimization Methods For Air-conditioning Systems In The Region Of Heat And Humidity

Modern life,people working or leisure most of the time living in the room.The city's buildings within the staff-intensive,the body of the heat and moisture can not be dealt with in a timely manner will damage the balance of indoor hot and humid environment,the building's hot and humid environment is an important factor affecting people's comfort,poor hot and humid environment will The health of the indoor staff has brought many effects.The stability of the indoor temperature and humidity control in the human comfort zone is the main goal of continuous improvement and development of air conditioning technology in recent years.Building interior staff and the improvement of indoor environmental requirements and other factors,making the air conditioning system energy consumption has become the most important part of building energy consumption,hot and humid climate high temperature and humidity characteristics of the air conditioning system to increase the energy consumption,Electric power supply equipment during the peak period there are hidden dangers.For the building energy efficiency and power grid security considerations,this paper proposed for the hot and humid areas of climate to establish air conditioning energy consumption monitoring system;the use of air conditioning system operation of the larger outdoor weather factors to predict air conditioning system in a period of time energy consumption,The management and maintenance personnel of the system can choose a more reasonable control strategy.This article completed the following work:(1)According to the climatic characteristics of the hot and humid climate region,the shortcomings of the traditional air conditioning system in the hot and humid coprocessing are analyzed.The working principle and characteristics of the temperature and humidity independent control air conditioning system are introduced.According to the operation mode,Energy consumption monitoring system.(2)Analyze the periodic characteristics of energy consumption of air-conditioning system,the real-time weather conditions and other factors on the energy consumption of building air-conditioning system;use BP neural network to predict air-conditioning energy consumption and analyze the prediction results: BP neural network prediction model is more accurate,However,the prediction results fluctuate greatly.When the accuracy of the model is high,the BP neural network algorithm needs to be improved to meet the demand.(3)PSO to optimize the connection weights and thresholds of BP neural networks,the optimized energy consumption is predicted by using the optimized algorithm.The results show that the improved prediction model can reduce the average error of air conditioning energy consumption forecast to 1.9%,and the stability of prediction is improved obviously.